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Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
Lisana, Lisana – Education and Information Technologies, 2023
Adopting technology by its intended users is one of the most important contributors to that technology's success. Therefore, the success of mobile learning (ML) depends on the students' acceptance of the method. Regarding this point, this quantitative research aims to identify factors that affect switching intention to adopt ML among university…
Descriptors: Handheld Devices, Telecommunications, Technology Integration, Intention
Sha Tian; Wenjiao Yang – Education and Information Technologies, 2024
The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…
Descriptors: Translation, Educational Technology, Technology Integration, Technology Uses in Education
Olga V. Sergeeva; Marina R. Zheltukhina; Tatyana Shoustikova; Leysan R. Tukhvatullina; Denis A. Dobrokhotov – Contemporary Educational Technology, 2025
Generative artificial intelligence (GAI) technologies are gaining traction in higher education, offering potential benefits such as personalized learning support and enhanced productivity. However, successful integration requires understanding the factors influencing students' adoption of these emerging tools. This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Razib Chandra Chanda; Ali Vafaei-Zadeh; Haniruzila Hanifah; T. Ramayah – Education and Information Technologies, 2025
Artificial intelligence (AI) is reshaping university education by offering personalized teaching assistance tailored to each student's cognitive needs. Despite its global rise, AI's adoption in higher education in developing nations like Bangladesh is sparse. This study, gathering 363 responses from Bangladeshi universities, employed PLS-SEM, ANN,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Developing Nations
Mahasneh, Omar – International Journal of Instruction, 2021
The current study aimed to know the factors that affect university college student's acceptance and use of Mobile learning (ML), and to discover the relationships between these factors. The researcher used the relational descriptive approach through the questionnaire Instrument. The questionnaire consisted of (25) items distributed on (7) factors…
Descriptors: Undergraduate Students, Student Motivation, Intention, Electronic Learning
Ragad M. Tawafak; Liqaa Habeb Al-Obaydi; Blanka Klimova; Marcel Pikhart – Contemporary Educational Technology, 2023
This abstract presents a research study that investigates the effects of technology integration (TI) through digital gameplay on English as a foreign language (EFL) college students' behavior intention. The study employs a mixed-methods research design, combining quantitative and qualitative data collection and analysis methods. The quantitative…
Descriptors: Technology Integration, English (Second Language), Second Language Instruction, College Students
Goh, Tiong-Thye; Yang, Bing – International Journal of Educational Technology in Higher Education, 2021
E-learning systems are widely deployed in higher education institutions but sustaining students' continued use of e-learning systems remains challenging. This study investigated the relationship between e-learning engagement, flow experience and learning management system continuance via a mediated moderation interaction model. The context of the…
Descriptors: Electronic Learning, Blended Learning, Integrated Learning Systems, Higher Education
Saeed Al-Maroof, Rana; Alhumaid, Khadija; Salloum, Said – Education Sciences, 2021
During the recent vast growth of digitalization, e-learning methods have become the most influential phenomenon at higher educational institutions. E-learning adoption has proved able to shift educational circumstances from the traditional face-to-face teaching environment to a flexible and sharable type of education. An online survey was…
Descriptors: Intention, Electronic Learning, Adoption (Ideas), Technology Integration
Cheng, Bo; Wang, Minhong; Moormann, Jurgen; Olaniran, Bolanle A.; Chen, Nian-Shing – Computers & Education, 2012
Workplace learning is an important means of employees' continuous learning and professional development. E-learning is being recognized as an important supportive practice for learning at work. Current research on the success factors of e-learning in the workplace has emphasized on employees' characteristics, technological attributes, and training…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, Workplace Learning
Duan, Yanqing; He, Qile; Feng, Weizhe; Li, Daoliang; Fu, Zetian – Computers & Education, 2010
This research aims to examine, from an innovation adoption perspective, Chinese students' intention of taking up e-learning degrees. A survey of Chinese students was conducted to reveal their perceptions concerning innovation attributes relevant to e-learning and their intentions of taking e-learning programmes provided by UK universities. Given…
Descriptors: Electronic Learning, Intention, Innovation, Foreign Countries
Sorebo, Oystein; Halvari, Hallgier; Gulli, Vebjorn Flaata; Kristiansen, Roar – Computers & Education, 2009
Based on self-determination theory, this study proposes an extended information systems continuance theory in the context of teachers' utilization of e-learning technology in connection with on-site courses. In the proposed model teachers' extrinsic motivation (i.e. perceived usefulness), confirmation of pre-acceptance expectations and intrinsic…
Descriptors: Psychological Needs, Student Motivation, Information Systems, Intention
Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo – Computers & Education, 2010
Student teachers should be prepared to integrate information and communication technology (ICT) into their future teaching and learning practices. Despite the increased availability and support for ICT integration, relatively few teachers intend to integrate ICT into their teaching activities (e.g., Ertmer, 2005). The available research has thus…
Descriptors: Constructivism (Learning), Preservice Teachers, Self Efficacy, Path Analysis